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Professor Majid Haghjoo

Shaheed Rajaei Cardiovascular Center, Tehran (Iran (Islamic Republic of))
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Biography
Majid Haghjoo received fellowship degree in field of cardiac electrophysiology from Iran University of Medical Sciences with two complementary training courses in Leipzig Heart Center (Germany) and Ospedale San Raffaele of Milan (Italy) and is currently teaching cardiac electrophysiology at Rajaie Cardiovascular Medical and Research Center. His professional interests focus on atrial fibrillation, ventricular tachycardia, and cardiac resynchronization therapy. He wrote more than 130 papers (cited in PubMed and Scopus) and 8 books (Published by Elsevier, Springer, Blackwell, Cambridge Scholars, and Intech). Now, he serves as director of Electrophysiology Department for Rajaie Cardiovascular Medical and Research Center, and is a member of American College of Cardiology, European Society of Cardiology, Heart Rhythm Society, and European Heart Rhythm Association.
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Optimal blanking period following atrial fibrillation catheter ablation: a systematic review and diagnostic meta-analysis of over 28,000 patients
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Optimal blanking period following atrial fibrillation catheter ablation: a systematic review and diagnostic meta-analysis of over 28,000 patients
25 June 2026
Phenotypic clustering of patients with atrial fibrillation at high risk of bleeding and stroke: insights from three global registries
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Phenotypic clustering of patients with atrial fibrillation at high risk of bleeding and stroke: insights from three global registries
25 June 2026
Real-world outcomes of oral anticoagulation in atrial fibrillation patients with high bleeding and stroke risks: evidence from three international registries from Middle East, Europe and Asia-Pacific
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Real-world outcomes of oral anticoagulation in atrial fibrillation patients with high bleeding and stroke risks: evidence from three international registries from Middle East, Europe and Asia-Pacific
5 November 2025
Machine learning-lased prediction of atrial fibrillation in patients with atrial high-rate episodes
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Machine learning-lased prediction of atrial fibrillation in patients with atrial high-rate episodes
5 November 2025
Response to letter: Value of the aVR lead in differential diagnosis of atrioventricular nodal reentrant tachycardia
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Response to letter: Value of the aVR lead in differential diagnosis of atrioventricular nodal reentrant tachycardia
1 January 2013
Value of the aVR lead in differential diagnosis of atrioventricular nodal reentrant tachycardia
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Value of the aVR lead in differential diagnosis of atrioventricular nodal reentrant tachycardia
29 April 2012
Efficacy and safety of different antitachycardia pacing sites in the termination of ventricular tachycardia in patients with biventricular implantable cardioverter-defibrillator
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Efficacy and safety of different antitachycardia pacing sites in the termination of ventricular tachycardia in patients with biventricular implantable cardioverter-defibrillator
4 February 2011
Prediction of response to cardiac resynchronization therapy using simple electrocardiographic and echocardiographic tools
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Prediction of response to cardiac resynchronization therapy using simple electrocardiographic and echocardiographic tools
1 October 2009
ST-segment depression as a risk factor in hypertrophic cardiomyopathy
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ST-segment depression as a risk factor in hypertrophic cardiomyopathy
22 January 2009
Predictors of venous obstruction following pacemaker or implantable cardioverter-defibrillator implantation: a contrast venographic study on 100 patients admitted for generator change, lead revision, or device upgrade
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Predictors of venous obstruction following pacemaker or implantable cardioverter-defibrillator implantation: a contrast venographic study on 100 patients admitted for generator change, lead revision, or device upgrade
16 March 2007